Visa svensk kursplan

SYLLABUS

Bioinformatics, 6 ECTS Credits

COURSE CATEGORY   Master´s Programme in Statistics and Data Mining MAIN FIELD OF STUDY   Statistic - STA SUBJECT AREA   Statistics – ST1   COURSE CODE   732A51

AIM OF THE COURSE

After completion of the course the student should on an advanced level be able to: - account for concepts in molecular biology and apply various techniques used for generating data. - accoount for major algorithms and principles of statistical models used for analysis of high-dimensional molecular data. - apply some of the most important bioinformatics and statistical software tools to real molecular data examples.

CONTENTS

The course introduces basic molecular biology concepts and how to analyze data with bioinformatics and statistics. More specifically, the course includes: - Basic molecular biology - Basic likelihood based statistics - Hidden Markov models - Sequence alignment - Molecular markers, QTL-mapping and association analysis - Microarray analysis

TEACHING

The teaching comprises lectures and computer exercises. The lectures are devoted to presentations of concepts and methods. The computer exercises provide practical experience of bioinformatics and statistical software usage for analysis of molecular genetic data. Homework and independent study are a necessary complement to the course. Language of instruction: English

EXAMINATION

Written reports on computer exercises. One final written or oral examination. Detailed information about the examination can be found in the course’s study guide. Students failing an exam covering either the entire course or part of the course two times are entitled to have a new examiner appointed for the reexamination. Students who have passed an examination may not retake it in order to improve their grades.

ADMISSION REQUIREMENTS

For acceptance to the course, the student must have a bachelor’s degree with a total of at least 90 ECTS credits (1.5 years of full-time studies) in mathematics, applied mathematics, statistics, bioinformatics or computer science. Basic undergraduate courses in statistics and computer science are required. Documented knowledge of English equivalent to Engelska B/Engelska 6: internationally recognized test, e.g. TOEFL (minimum scores: Paper based 575 + TWE-score 4.5, and internet based 90+TWE-score 20), IELTS, academic (minimum score Overall band 6.5 and no band under 5.5), or equivalent.

GRADING

The course is graded according to the ECTS grading scale A-F

CERTIFICATE

Course certificate is issued by the Faculty Board on request. The Department provides a special form which should be submitted to the Student Affairs Division.

COURSE LITERATURE

The course literature is decided upon by the department in question.

OTHER INFORMATION

Planning and implementation of a course must take its starting point in the wording of the syllabus. The course evaluation included in each course must therefore take up the question how well the course agrees with the syllabus. The course is carried out in such a way that both men´s and women´s experience and knowledge is made visible and developed.

Bioinformatics Bioinformatik   Department responsible for the course or equivalent: IDA - Department of Computer and Information Science             Registrar No: 2012-01070   Course Code: 732A51           Exam codes: see Local Computer System       Subject/Subject Area : Statistic - STA                       Level   Education level     Subject Area Code   Field of Education   A1X   Advanced level       TE   The syllabus was approved by the Board of Faculty of Arts and Science 2014-11-18